Data visualization method and apparatus for layered graph structure

Abstract

The invention relates to a method of visualizing hierarchical graph structure data, a device thereof and a computer program product thereof. The hierarchical graph structure data comprises a plurality of nodes distributed on a plurality of hierarchies and the relations among a plurality of nodes. The method comprises presenting the thinning of the hierarchical graph structure data on the nodes of an appointed hierarchy and the relation thereof in a focus region (411), and presenting the nodes under the appointed hierarchy of the hierarchical graph structure data and the relation thereof on a subgraph region (412). Therefore, the nodes of the appointed hierarchy of the hierarchical graph structure data and the relation thereof can be clearly and visually displayed even if the hierarchy of the hierarchical graph structure data and or graph information is much, and the specific detailed information of the hierarchical graph structure data can be dynamically displayed according to the requirements of users.

Description

technical field [0001] The present invention relates to computer information processing technology, more specifically, to the visualization technology of hierarchical graph structure data. Background technique [0002] Generally, the visualization of hierarchical graph-structured data involves two types of relationships, one includes the hierarchical relationship between graph elements, and the other includes the interrelationships between graph elements. These two types of relationships alone have relatively mature visualization methods. For example, for hierarchical relationships, angle diagrams, tree diagrams, etc. can be used to present; for the interconnection between diagram elements, force vector-oriented diagram layout ( Force directed layout) to present. [0003] An angle chart is a circular or arc-shaped chart that is divided into multiple sectors (slices) by radius, such as a pie chart, donut chart, sunburst chart, etc. Typically, angle plots are used to represe...

AI Technical Summary

Problems solved by technology

However, when the company's organizational structure is too deep, the number of employees is too large, and the connections between them are complex, the use of 3D views will not be able to clearly and effectively display the information hidden in the data

[0007] It can be seen that although the 3D view has a good effect in presenting hierarchical graph-structured data, it has the following weaknesses when the hierarchical graph-structured data has many levels or the amount of graph information in the hierarchical graph-structured data is huge: first , when there are many levels in the hierarchical graph structure data or the amount of graph information in the hierarchical graph structure data is huge, the lines corresponding to the 3D view will be so many that they overlap and become confusing, so that the entire view may be difficult to distinguish; secondly, due to The entire hierarchical graph structure data is displayed together, and the lack of interaction makes them only static rendering views

Therefore, when the hierarchical graph structure data is relatively large (that is, there are many levels or the amount of graph information is huge), users cannot clearly obtain the content they need by representing the hierarchical graph structure data through an existing view such as a three-dimensional view

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